Niel Hens

34 papers A* 1Journal 29Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Penalized distributed lag non-linear models for small area data using Laplacian-P-splines.
Stat. Comput.
Sara Rutten, Bryan Sumalinab, Oswaldo Gressani, Thomas Neyens, Elisa Duarte, Niel Hens, Christel Faes
2025 J jnl
Algorithms for Markov Binomial Chains.
Log. Methods Comput. Sci.
Alejandro Alarcón Gonzalez, Niel Hens, Tim Leys, Guillermo A. Pérez
2025 J jnl
Bayesian Nowcasting with Laplacian-P-Splines.
J. Comput. Graph. Stat.
Bryan Sumalinab, Oswaldo Gressani, Niel Hens, Christel Faes
2025 J jnl
Measuring approximate functional dependencies: a comparative study.
VLDB J.
Marcel Parciak, Sebastiaan Weytjens, Niel Hens, Frank Neven, Liesbet M. Peeters, Stijn Vansummeren
2025 J jnl
Non-traditional data in pandemic preparedness and response: identifying and addressing first and last-mile challenges.
CoRR
Mattia Mazzoli, Irma Varela-Lasheras, Sonia Namorado, Constantino Pereira Caetano, Andreia Leite, Lisa Hermans, Niel Hens, Polen Türkmen, Kyriaki Kalimeri, Leo Ferres, Ciro Cattuto, Daniela Paolotti, Stefaan Verhulst
2025 J jnl
Nonparametric serial interval estimation with uniform mixtures.
PLoS Comput. Biol.
Oswaldo Gressani, Niel Hens
2024 J jnl
Algorithms for Markov Binomial Chains.
CoRR
Alejandro Alarcón Gonzalez, Niel Hens, Tim Leys, Guillermo A. Pérez
2024 J jnl
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning.
Expert Syst. Appl.
Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
2024 A* conf
Measuring Approximate Functional Dependencies: A Comparative Study.
ICDE
Marcel Parciak, Sebastiaan Weytjens, Niel Hens, Frank Neven, Liesbet M. Peeters, Stijn Vansummeren
2023 J jnl
Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration.
CoRR
Alexandra Cimpean, Timothy Verstraeten, Lander Willem, Niel Hens, Ann Nowé, Pieter Libin
2023 J jnl
Measuring Approximate Functional Dependencies: a Comparative Study.
CoRR
Marcel Parciak, Sebastiaan Weytjens, Niel Hens, Frank Neven, Liesbet M. Peeters, Stijn Vansummeren
2022 J jnl
Different forms of superspreading lead to different outcomes: Heterogeneity in infectiousness and contact behavior relevant for the case of SARS-CoV-2.
PLoS Comput. Biol.
Elise J. Kuylen, Andrea Torneri, Lander Willem, Pieter J. K. Libin, Steven Abrams, Pietro Coletti, Nicolas Franco, Frederik Verelst, Philippe Beutels, Jori Liesenborgs, Niel Hens
2022 J jnl
EpiLPS: A fast and flexible Bayesian tool for estimation of the time-varying reproduction number.
PLoS Comput. Biol.
Oswaldo Gressani, Jacco Wallinga, Christian L. Althaus, Niel Hens, Christel Faes
2022 J jnl
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning.
CoRR
Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
2022 J jnl
Inferring age-specific differences in susceptibility to and infectiousness upon SARS-CoV-2 infection based on Belgian social contact data.
PLoS Comput. Biol.
Nicolas Franco, Pietro Coletti, Lander Willem, Leonardo Angeli, Adrien Lajot, Steven Abrams, Philippe Beutels, Christel Faes, Niel Hens
2021 J jnl
Assessing the feasibility and effectiveness of household-pooled universal testing to control COVID-19 epidemics.
PLoS Comput. Biol.
Pieter J. K. Libin, Lander Willem, Timothy Verstraeten, Andrea Torneri, Joris Vanderlocht, Niel Hens
2021 J jnl
On realized serial and generation intervals given control measures: The COVID-19 pandemic case.
PLoS Comput. Biol.
Andrea Torneri, Pieter Libin, Gianpaolo Scalia Tomba, Christel Faes, James G. Wood, Niel Hens
2020 J jnl
A flexible bimodal model with long-term survivors and different regression structures.
Commun. Stat. Simul. Comput.
Thiago G. Ramires, Edwin M. M. Ortega, Artur J. Lemonte, Niel Hens, Gauss M. Cordeiro
2020 — conf
Deep Reinforcement Learning for Large-Scale Epidemic Control.
ECML/PKDD (5)
Pieter J. K. Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé
2020 J jnl
Deep reinforcement learning for large-scale epidemic control.
CoRR
Pieter Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé
2020 — conf
Using Individual-Based Models to Look Beyond the Horizon: The Changing Effects of Household-Based Clustering of Susceptibility to Measles in the Next 20 Years.
ICCS (1)
Elise J. Kuylen, Jori Liesenborgs, Jan Broeckhove, Niel Hens
2019 — conf
Future Ramifications of Age-Dependent Immunity Levels for Measles: Explorations in an Individual-Based Model.
ICCS (1)
Elise J. Kuylen, Lander Willem, Niel Hens, Jan Broeckhove
2019 — conf
Improving ODE Integration on Graphics Processing Units by Reducing Thread Divergence.
ICCS (3)
Thomas Kovac, Tom Haber, Frank Van Reeth, Niel Hens
2018 J jnl
Estimating nonlinear effects in the presence of cure fraction using a semi-parametric regression model.
Comput. Stat.
Thiago G. Ramires, Niel Hens, Gauss M. Cordeiro, Edwin M. M. Ortega
2018 J jnl
Heterogeneous computing for epidemiological model fitting and simulation.
BMC Bioinform.
Thomas Kovac, Tom Haber, Frank Van Reeth, Niel Hens
2018 J jnl
New regression model with four regression structures and computational aspects.
Commun. Stat. Simul. Comput.
Thiago G. Ramires, Edwin M. M. Ortega, Gauss M. Cordeiro, Gilberto A. Paula, Niel Hens
2016 J jnl
Estimating Time of Infection Using Prior Serological and Individual Information Can Greatly Improve Incidence Estimation of Human and Wildlife Infections.
PLoS Comput. Biol.
Benny Borremans, Niel Hens, Philippe Beutels, Herwig Leirs, Jonas Reijniers
2015 J jnl
Optimizing agent-based transmission models for infectious diseases.
BMC Bioinform.
Lander Willem, Sean Stijven, Engelbert Tijskens, Philippe Beutels, Niel Hens, Jan Broeckhove
2014 J jnl
Active Learning to Understand Infectious Disease Models and Improve Policy Making.
PLoS Comput. Biol.
Lander Willem, Sean Stijven, Ekaterina Vladislavleva, Jan Broeckhove, Philippe Beutels, Niel Hens
2014 J jnl
Data mining for longitudinal data under multicollinearity and time dependence using penalized generalized estimating equations.
Comput. Stat. Data Anal.
A. Blommaert, Niel Hens, Philippe Beutels
2012 J jnl
A nonparametric approach to weighted estimating equations for regression analysis with missing covariates.
Comput. Stat. Data Anal.
An Creemers, Marc Aerts, Niel Hens, Geert Molenberghs
2012 J jnl
Living on Three Time Scales: The Dynamics of Plasma Cell and Antibody Populations Illustrated for Hepatitis A Virus.
PLoS Comput. Biol.
Mathieu Andraud, Olivier Lejeune, Jammbe Z. Musoro, Benson Ogunjimi, Philippe Beutels, Niel Hens
2006 J jnl
The nature of sensitivity in monotone missing not at random models.
Comput. Stat. Data Anal.
Ivy Jansen, Niel Hens, Geert Molenberghs, Marc Aerts, Geert Verbeke, Michael G. Kenward
2005 J jnl
Kernel weighted influence measures.
Comput. Stat. Data Anal.
Niel Hens, Marc Aerts, Geert Molenberghs, Herbert Thijs, Geert Verbeke